Country and consumer segmentation: Multi-level latent class analysis of financial product ownership

Bijmolt, THA., Paas, LJ. & Vermunt, JK., Dec-2004, In : International Journal of Research in Marketing. 21, 4, p. 323-340 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

The financial services sector has internationalized over the last few decades. Important differences and similarities in financial behavior can be anticipated between both consumers within a particular country and those living in different countries. For companies in this market, the appropriate choice between strategic options and the resulting international performance may critically depend on the cross-national market structure of the various financial products. Insight into country segments and international consumer segments based on domain-specific behavioral variables will therefore be of key strategic importance. We present a multi-level latent class framework for obtaining simultaneously such country and consumer segments. In an empirical study, we apply this methodology and several alternative modeling approaches to data on ownership of eight financial products. Information is available for 15 European countries, with a sample size of about 1000 consumers per country. We find that both country segments and consumer segments are highly interpretable. Also, consumer segmentation is related to demographic variables such as age and income. Our conclusions feature implications, both academic and managerial, and directions for future research. (C) 2004 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)323-340
Number of pages18
JournalInternational Journal of Research in Marketing
Issue number4
Publication statusPublished - Dec-2004
EventConference on Global Marketing - , Netherlands
Duration: 8-Jun-200310-Jun-2003


Conference on Global Marketing



Event: Other


  • international segmentation, financial products, multi-level latent class analysis, INTERNATIONAL MARKET-SEGMENTATION, CLASS MODELS, DIFFUSION PATTERNS, MIXTURE-MODELS, AUGMENTATION, VARIABLES, SERVICES

ID: 533721